New Techniques in Time-Frequency Analysis: Adaptive Band, Ultra-Wide Band and Multi-Rate Signal Processing

2016 ◽  
Author(s):  
Stephen D. Casey
Keyword(s):  
Signal Processing ◽  
Frequency Analysis ◽  
Wide Band ◽  
Ultra Wide Band ◽  
New Techniques ◽  
Time Frequency Analysis ◽  
Time Frequency

THE LINEAR TIME FREQUENCY ANALYSIS TOOLBOX

2012 ◽  
Vol 10 (04) ◽  
pp. 1250032 ◽  
Author(s):  
PETER L. SØNDERGAARD ◽  
BRUNO TORRÉSANI ◽  
PETER BALAZS
Keyword(s):  
Signal Processing ◽  
Frequency Analysis ◽  
Linear Time ◽  
Computational Time ◽  
Computational Tool ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Mathematical Background ◽  
Specific Signal

The Linear Time Frequency Analysis Toolbox is a MATLAB/Octave toolbox for computational time-frequency analysis. It is intended both as an educational and computational tool. The toolbox provides the basic Gabor, Wilson and MDCT transform along with routines for constructing windows (filter prototypes) and routines for manipulating coefficients. It also provides a bunch of demo scripts devoted either to demonstrating the main functions of the toolbox, or to exemplify their use in specific signal processing applications. In this paper we describe the used algorithms, their mathematical background as well as some signal processing applications.

Digital signal processing for self-vibration monitoring in grinding: A new approach based on the time-frequency analysis of vibration signals

Measurement ◽  
2019 ◽  
Vol 145 ◽  
pp. 71-83 ◽  
Author(s):  
Rogério Thomazella ◽  
Wenderson Nascimento Lopes ◽  
Paulo Roberto Aguiar ◽  
Felipe Aparecido Alexandre ◽  
Arthur Alves Fiocchi ◽  
...  
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Frequency Analysis ◽  
Digital Signal ◽  
Vibration Monitoring ◽  
Vibration Signals ◽  
New Approach ◽  
Time Frequency Analysis ◽  
Time Frequency

scholarly journals Time frequency analysis of ultrasound doppler signal by s-transform and wigner-ville distribution

2019 ◽  
Vol 14 (3) ◽  
pp. 1220
Author(s):  
Mahieddine Latfaoui ◽  
Fethi Bereksi Reguig
Keyword(s):  
Signal Processing ◽  
Frequency Analysis ◽  
Doppler Signal ◽  
Time Frequency Analysis ◽  
Ultrasound Doppler ◽  
Time Frequency ◽  
Femoral Arteries ◽  
S Transform ◽  
Ultrasonic Doppler Signal ◽  
Non Parametric

<p>Ultrasound Doppler signal processing is a necessity in several disciplines of medicine. The interpretation of these signals allows a good diagnosis of patients in order to detect certain diseases. In this work, we will use different non-parametric time-frequency techniques such as the Wigner-Ville distribution (WVD), the Pseudo-Wigner-Ville distribution (PWVD), the smoothed pseudo Wigner-Ville distribution (SPWVD), and the S-transform in order to analyze the Ultrasonic Doppler signal of the femoral arteries.</p>

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